This content will become publicly available on June 16, 2020
Machine-learning-based jet momentum reconstruction in heavy-ion collisions
- Authors:
- Publication Date:
- Sponsoring Org.:
- USDOE Office of Science (SC), Nuclear Physics (NP) (SC-26)
- OSTI Identifier:
- 1546257
- Grant/Contract Number:
- SC004168; AC05-00OR22725
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Physical Review C
- Additional Journal Information:
- Journal Name: Physical Review C Journal Volume: 99 Journal Issue: 6; Journal ID: ISSN 2469-9985
- Publisher:
- American Physical Society
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Haake, Rüdiger, and Loizides, Constantin. Machine-learning-based jet momentum reconstruction in heavy-ion collisions. United States: N. p., 2019.
Web. doi:10.1103/PhysRevC.99.064904.
Haake, Rüdiger, & Loizides, Constantin. Machine-learning-based jet momentum reconstruction in heavy-ion collisions. United States. doi:10.1103/PhysRevC.99.064904.
Haake, Rüdiger, and Loizides, Constantin. Mon .
"Machine-learning-based jet momentum reconstruction in heavy-ion collisions". United States. doi:10.1103/PhysRevC.99.064904.
@article{osti_1546257,
title = {Machine-learning-based jet momentum reconstruction in heavy-ion collisions},
author = {Haake, Rüdiger and Loizides, Constantin},
abstractNote = {},
doi = {10.1103/PhysRevC.99.064904},
journal = {Physical Review C},
number = 6,
volume = 99,
place = {United States},
year = {2019},
month = {6}
}
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